Maria Augusta Neto

Prof. Dr. Maria Augusta Neto

University of Coimbra, CEMMPRE, Department of Mechanical Engineering
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2013 in Polymer Degradation and Stability
Verified
Journal Article
Closed access
Ana Martins AmaroAna Martins Amaro
Ana Martins Amaro
Paulo Nobre Balbis dos ReisPaulo Nobre Balbis dos Reis
Paulo Nobre Balbis dos Reis
Maria Augusta NetoMaria Augusta Neto
Maria Augusta Neto
Cristina Santos LouroCristina Santos Louro
Cristina Santos Louro

1 September 2013 in Composites Part B: Engineering
Verified
Journal Article
Closed access
Ana Martins AmaroAna Martins Amaro
Ana Martins Amaro
Paulo Nobre Balbis dos ReisPaulo Nobre Balbis dos Reis
Paulo Nobre Balbis dos Reis
MMMarcelo Francisco de Sousa de Moura
Marcelo Francisco de Sousa de Moura
Maria Augusta NetoMaria Augusta Neto
Maria Augusta Neto

1 August 2003 in Multibody System Dynamics
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Journal Article
Closed access
PDF file
Maria Augusta NetoMaria Augusta Neto
Maria Augusta Neto
JAJorge Ambrósio
Jorge Ambrósio

12 July 2024 in Applied Sciences
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Journal Article
Open access
PDF file
VSVítor Miguel Santos
Vítor Miguel Santos
BGBeatriz Gomes
Beatriz Gomes
Maria Augusta NetoMaria Augusta Neto
Maria Augusta Neto
Ana Martins AmaroAna Martins Amaro
Ana Martins Amaro
Background: Integrating diverse sensor technologies into smart insoles offers significant potential for monitoring biomechanical metrics; enhancing sports performance; and managing therapeutic interventions, diseases, disorders, and other health-related issues. The variation in sensor types and applications requires a systematic review to synthesize existing evidence and guide future innovations. Objectives: This review aims to identify, categorize, and critically evaluate the various sensors used in smart insoles, focusing on their technical specifications, application scopes, and validity. Methods: Following the PRISMA guidelines, a search was conducted in three major electronic databases, namely, PubMed, Scopus, and Web of Science, for relevant literature published from 2014 to 2024. Other works not located in the mentioned databases were added manually by parallel searches on related themes and suggestions from the website of the databases. To be eligible, studies were required to describe sensor implementation in insoles, specify the sensor types, and report on either validation experiments or practical outcomes. Results: The search identified 33 qualifying studies. Proper analysis revealed a dominance of pressure sensors, with accelerometers and gyroscopes also being widely used. Critical applications included gait analysis, posture correction, and real-time athletic and rehabilitation feedback. The review also examined the relative effectiveness of different sensor configurations. Conclusions: This systematic review comprehensively classifies sensor technologies within smart insoles and highlights their broad application potential across various fields. Future research should aim to standardize measurement protocols, enhance sensor integration, and advance data processing techniques to boost functionality and clinical applicability.

1 August 2016 in Composites Part B: Engineering
Verified
Journal Article
Closed access
Ana Martins AmaroAna Martins Amaro
Ana Martins Amaro
Paulo Nobre Balbis dos ReisPaulo Nobre Balbis dos Reis
Paulo Nobre Balbis dos Reis
Maria Augusta NetoMaria Augusta Neto
Maria Augusta Neto

1 December 2013 in Composites Part B: Engineering
Verified
Journal Article
Closed access
Mário João F S SantosMário João F S Santos
Mário João F S Santos
Jaime Batista dos SantosJaime Batista dos Santos
Jaime Batista dos Santos
Ana Martins AmaroAna Martins Amaro
Ana Martins Amaro
Maria Augusta NetoMaria Augusta Neto
Maria Augusta Neto